Difference between revisions of "Engineering:Project:Non-rigid EPI registration"
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− | + | Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]], [[Algorithm:MGH|MGH Algorithms]] | |
+ | |||
+ | = Non-rigid EPI registration using ITK = | ||
+ | |||
+ | = Description = | ||
'''Use case'''<nowiki>: 'I'd like to be able to register an EPI image to a conventional structural image. This will help correct for the distortions in EPI images, and help me use tools which have been developed for conventional structural images' - Saykin </nowiki> | '''Use case'''<nowiki>: 'I'd like to be able to register an EPI image to a conventional structural image. This will help correct for the distortions in EPI images, and help me use tools which have been developed for conventional structural images' - Saykin </nowiki> | ||
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DTI data] and [https://portal.nbirn.net/BIRN/cgi-bin/DataGrid/browse.cgi?browseloc=/home/Projects/NAMIC__0003/Files/Dartmouth/HealthyControls6/SPGRdata | DTI data] and [https://portal.nbirn.net/BIRN/cgi-bin/DataGrid/browse.cgi?browseloc=/home/Projects/NAMIC__0003/Files/Dartmouth/HealthyControls6/SPGRdata | ||
+ | conventional data]. | ||
− | + | = Key Investigators = | |
− | + | Snyder, Jen, Tuch, Ibanez | |
<br />'''Win conditions'''<nowiki>: </nowiki> | <br />'''Win conditions'''<nowiki>: </nowiki> | ||
− | + | ''Kitware''<nowiki>: Demonstration of advantages of ITK solution. Practical implementation towards DBP. </nowiki> | |
− | + | ''MGH''<nowiki>: Guidance on optimal use of ITK non-rigid registration functions </nowiki> | |
− | + | ''Dartmouth''<nowiki>: Software deliverable </nowiki> | |
<br />'''Most probable failure modes'''<nowiki>: </nowiki> | <br />'''Most probable failure modes'''<nowiki>: </nowiki> | ||
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---- | ---- | ||
− | + | ''Steps''<nowiki>: </nowiki> | |
# Requirements extraction (Tuch/Saykin): '''done''' | # Requirements extraction (Tuch/Saykin): '''done''' | ||
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Statistical power benefit of ITK nonlinear registration | Statistical power benefit of ITK nonlinear registration | ||
− | * | + | * ''Use case''<nowiki>: 'Evaluate benefit of using ITK nonlinear registration for group FA comparisons' </nowiki> |
* Difficulty: Low-Medium | * Difficulty: Low-Medium | ||
* Impact: Medium | * Impact: Medium | ||
+ | |||
+ | = Publications = | ||
+ | |||
+ | = Links = |
Latest revision as of 04:24, 26 November 2007
Home < Engineering:Project:Non-rigid EPI registrationBack to NA-MIC_Collaborations, MGH Algorithms
Contents
Non-rigid EPI registration using ITK
Description
Use case: 'I'd like to be able to register an EPI image to a conventional structural image. This will help correct for the distortions in EPI images, and help me use tools which have been developed for conventional structural images' - Saykin
Impact: Medium (Saykin)
Difficulty: Medium (Tuch)
Vision: Software tool which can perform robust non-rigid, intrasubject registration between an EPI image and a conventional structural image.
Goal: Identify optimal ITK method and parameter settings for non-rigid intrasubject registration of T2 EPI to T1 conventional. Provide software devliverable.
Test Data: We'll look at all 6 healthy individuals from the Dartmouth data set. [https://portal.nbirn.net/BIRN/cgi-bin/DataGrid/browse.cgi?browseloc=/home/Projects/NAMIC__0003/Files/Dartmouth/HealthyControls6/DTIdata
DTI data] and [https://portal.nbirn.net/BIRN/cgi-bin/DataGrid/browse.cgi?browseloc=/home/Projects/NAMIC__0003/Files/Dartmouth/HealthyControls6/SPGRdata
conventional data].
Key Investigators
Snyder, Jen, Tuch, Ibanez
Win conditions:
Kitware: Demonstration of advantages of ITK solution. Practical implementation towards DBP.
MGH: Guidance on optimal use of ITK non-rigid registration functions
Dartmouth: Software deliverable
Most probable failure modes:
- Loss of traction
- Insufficient accuracy
- Ambiguous accuracy results (E.g., registration performance inconsistent across subjects or regions)
Steps:
- Requirements extraction (Tuch/Saykin): done
- Create Wiki project page (Tuch): done
- Create directory on NAMIC sandbox (Ibanez): done
- Transfer test images (Snyder): done
- Implement rigid registration method (Snyder/Ibanez): done
- Implement deformable method (Snyder/Jen): done
- Write test engine (Snyder/Jen): in progress
- Evaluate registration performance (Snyder/Jen/Ibanez/Saykin): queued
- Software deliverable (Snyder/Jen): queued
Statistical power benefit of ITK nonlinear registration
- Use case: 'Evaluate benefit of using ITK nonlinear registration for group FA comparisons'
- Difficulty: Low-Medium
- Impact: Medium